Determination of optimal SVM parameters by using GA/PSO

Journal of Computers

Volumn 5, Issue 8, 2010, Pages 1160-1168

  Ren, Yuan ^a   Bai, Guangchen ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Cross validation; Genetic algorithm; Particle swarm optimization; Support vector machine

Indexed keywords

COMPUTATIONAL COSTS; CROSS VALIDATION; FUNCTION APPROXIMATION; GA (GENETIC ALGORITHM); GENERALIZATION ERROR; HYPER-PARAMETERS; KERNEL PARAMETER; LEAVE-ONE-OUT; OBJECTIVE FUNCTIONS; PARAMETER OPTIMIZATION; PARAMETER SETTING; PARTICLE SWARM; POPULATION SIZES; PRACTICAL USE; PSO(PARTICLE SWARM OPTIMIZATION); SVM MODEL;

GENETIC ALGORITHMS; PARAMETER ESTIMATION; POPULATION STATISTICS; SUPPORT VECTOR MACHINES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78651542954     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.5.8.1160-1168     Document Type: Article

References (8)

1. E. Rigoni and A. Lovison, "Automatic sizing of neural networks for function approximation," IEEE International Conference on Systems, Man and Cybernetics, pp. 2005- 2010, October 2007.
2. R. R. Barton and M. Meckesheimer, "Metamodel-based simulation optimization," in Handbooks in Operations Research and Management Science, vol. 13, Elsevier Science, 2006, pp. 535-574.
3. X. F. Yuan and Y. N. Wang, "Parameter selection of SVM for function approximation based on chaos optimization," Journal of Systems Engineering and Electronics, vol. 19, pp. 191-197, 2008.
4. V. Cherkassky and Y. Ma, "Practical selection of SVM parameters and noise estimation for SVM regression," Neural Networks, vol. 17, pp. 113-126, 2004.
5. B. Üstün, W. J. Melssen, M. Oudenhuijzen and L. M. C. Buydens, "Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization," Analytica Chimica Acta, vol. 54, pp. 292- 305, 2005.
6. K. Ito and R. Nakano, "Optimizing support vector regression hyper-parameters based on cross-validation," Proceedings of the International Joint Conference on Neural Networks, vol. 3, pp. 2077-2082, July 2003.
7. Z. Y. Luo, P. Wang, Y. G. Li, W. F. Zhang, W. Tang and M. Xiang, "Quantum-inspired evolutionary tuning of SVM parameters," Progress in Natural Science, vol. 18, pp. 475-480, 2008.
8. A. C. Keys, L. P. Rees and A. G. Greenwood, "Performance measures for selection of metamodels to be used in simulation optimization," Decision Sciences, vol. 33, pp. 31-57, 2002.